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guardentryai

GuardEntry MCP Server

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by guardentryai

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    TDQS

    A3.7/5.0

    Scored across 12 tools

    Disambiguation4/5

    Most tools target distinct resources and actions, such as listing risks, invoking agents/skills, and managing policies. The main potential confusion is between guardentry_invoke_agent and guardentry_invoke_skill, but their descriptions clarify that one invokes an entire agent while the other invokes a single skill. guardentry_chat is a broad catch-all that overlaps with some read operations, but its natural language interface makes it distinct enough.

    Naming Consistency3/5

    All tool names share the guardentry_ prefix and use snake_case, which is good. However, the naming pattern is inconsistent: several tools follow a clear verb_noun structure (list_risks, invoke_agent, evaluate_action, get_agent_policy), while others lack a verb or use noun-only names (chat, compliance_status, action_status). This mixed convention makes the set slightly less predictable.

    Tool Count5/5

    With 12 tools, the set is well-scoped for a governance/compliance platform covering risks, compliance, agents, skills, and policies. Each tool addresses a distinct concern, and the count stays within the ideal 3-15 range without feeling bloated or sparse.

    Completeness3/5

    The toolset covers core read operations and several actions, such as listing risks, invoking agents/skills, and updating policies. However, there are notable gaps: no dedicated create/update/delete tools for risks or controls, no tool to list agents, and no way to approve or reject pending actions directly. guardentry_chat can handle some writes indirectly, but this creates a dependency on a general-purpose tool.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues